Covariant feature detectors - Definition. More...

#include "covdet.h"
#include <string.h>

Data Structures
struct	_VlCovDet
	Covariant feature detector. More...

Functions
static int	_vl_resize_buffer (void *buffer, vl_size bufferSize, vl_size targetSize)
	Reallocate buffer. More...

static int	_vl_enlarge_buffer (void *buffer, vl_size bufferSize, vl_size targetSize)
	Enlarge buffer. More...

vl_size	vl_find_local_extrema_3 (vl_index *extrema, vl_size bufferSize, float const *map, vl_size width, vl_size height, vl_size depth, double threshold)
	Find the extrema of a 3D function. More...

vl_size	vl_find_local_extrema_2 (vl_index *extrema, vl_size bufferSize, float const *map, vl_size width, vl_size height, double threshold)
	Find extrema in a 2D function. More...

vl_bool	vl_refine_local_extreum_3 (VlCovDetExtremum3 refined, float const map, vl_size width, vl_size height, vl_size depth, vl_index x, vl_index y, vl_index z)
	Refine the location of a local extremum of a 3D map. More...

vl_bool	vl_refine_local_extreum_2 (VlCovDetExtremum2 refined, float const map, vl_size width, vl_size height, vl_index x, vl_index y)
	Refine the location of a local extremum of a 2D map. More...

VlCovDet *	vl_covdet_new (VlCovDetMethod method)
	Create a new object instance. More...

void	vl_covdet_reset (VlCovDet *self)
	Reset object. More...

void	vl_covdet_delete (VlCovDet *self)
	Delete object instance. More...

int	vl_covdet_append_feature (VlCovDet self, VlCovDetFeature const feature)
	Append a feature to the internal buffer. More...

int	vl_covdet_put_image (VlCovDet self, float const image, vl_size width, vl_size height)
	Detect features in an image. More...

static void	_vl_det_hessian_response (float hessian, float const image, vl_size width, vl_size height, double step, double sigma)
	Scaled derminant of the Hessian filter. More...

static void	_vl_harris_response (float harris, float const image, vl_size width, vl_size height, double step, double sigma, double sigmaI, double alpha)
	Scale-normalised Harris response. More...

static void	_vl_dog_response (float dog, float const level1, float const *level2, vl_size width, vl_size height)
	Difference of Gaussian. More...

void	vl_covdet_detect (VlCovDet *self)
	Detect scale-space features. More...

vl_bool	vl_covdet_extract_patch_helper (VlCovDet self, double sigma1, double sigma2, float patch, vl_size resolution, double extent, double sigma, double A_ [4], double T_ [2], double d1, double d2)
	Helper for extracting patches. More...

vl_bool	vl_covdet_extract_patch_for_frame (VlCovDet self, float patch, vl_size resolution, double extent, double sigma, VlFrameOrientedEllipse frame)
	Helper for extracting patches. More...

int	vl_covdet_extract_affine_shape_for_frame (VlCovDet self, VlFrameOrientedEllipse adapted, VlFrameOrientedEllipse frame)
	Extract the affine shape for a feature frame. More...

void	vl_covdet_extract_affine_shape (VlCovDet *self)
	Extract the affine shape for the stored features. More...

VlCovDetFeatureOrientation *	vl_covdet_extract_orientations_for_frame (VlCovDet self, vl_size numOrientations, VlFrameOrientedEllipse frame)
	Extract the orientation(s) for a feature. More...

void	vl_covdet_extract_orientations (VlCovDet *self)
	Extract the orientation(s) for the stored features. More...

VlCovDetFeatureLaplacianScale *	vl_covdet_extract_laplacian_scales_for_frame (VlCovDet self, vl_size numScales, VlFrameOrientedEllipse frame)
	Extract the Laplacian scale(s) for a feature frame. More...

void	vl_covdet_extract_laplacian_scales (VlCovDet *self)
	Extract the Laplacian scales for the stored features. More...

void	vl_covdet_drop_features_outside (VlCovDet *self, double margin)
	Drop features (partially) outside the image. More...

vl_bool	vl_covdet_get_transposed (VlCovDet const *self)
	Get wether images are passed in transposed. More...

void	vl_covdet_set_transposed (VlCovDet *self, vl_bool t)
	Set the index of the first octave. More...

double	vl_covdet_get_edge_threshold (VlCovDet const *self)
	Get the edge threshold. More...

void	vl_covdet_set_edge_threshold (VlCovDet *self, double edgeThreshold)
	Set the edge threshold. More...

double	vl_covdet_get_peak_threshold (VlCovDet const *self)
	Get the peak threshold. More...

void	vl_covdet_set_peak_threshold (VlCovDet *self, double peakThreshold)
	Set the peak threshold. More...

double	vl_covdet_get_laplacian_peak_threshold (VlCovDet const *self)
	Get the Laplacian peak threshold. More...

void	vl_covdet_set_laplacian_peak_threshold (VlCovDet *self, double peakThreshold)
	Set the Laplacian peak threshold. More...

vl_index	vl_covdet_get_first_octave (VlCovDet const *self)
	Get the index of the first octave. More...

void	vl_covdet_set_first_octave (VlCovDet *self, vl_index o)
	Set the index of the first octave. More...

vl_size	vl_covdet_get_num_octaves (VlCovDet const *self)
	Get the max number of octaves. More...

double	vl_covdet_get_base_scale (VlCovDet const *self)
	Get the GSS base scale. More...

void	vl_covdet_set_num_octaves (VlCovDet *self, vl_size o)
	Set the max number of octaves. More...

void	vl_covdet_set_base_scale (VlCovDet *self, double s)
	Set the GSS base scale. More...

void	vl_covdet_set_max_num_orientations (VlCovDet *self, vl_size m)
	Set the max number of orientations. More...

vl_size	vl_covdet_get_octave_resolution (VlCovDet const *self)
	Get the octave resolution. More...

void	vl_covdet_set_octave_resolution (VlCovDet *self, vl_size r)
	Set the octave resolutuon. More...

vl_bool	vl_covdet_get_aa_accurate_smoothing (VlCovDet const *self)
	Get whether affine adaptation uses accurate smoothing. More...

void	vl_covdet_set_aa_accurate_smoothing (VlCovDet *self, vl_bool x)
	Set whether affine adaptation uses accurate smoothing. More...

vl_size	vl_covdet_get_max_num_orientations (VlCovDet const *self)
	Get the max number of orientations. More...

double	vl_covdet_get_non_extrema_suppression_threshold (VlCovDet const *self)
	Get the non-extrema suppression threshold. More...

void	vl_covdet_set_non_extrema_suppression_threshold (VlCovDet *self, double x)
	Set the non-extrema suppression threshod. More...

vl_size	vl_covdet_get_num_non_extrema_suppressed (VlCovDet const *self)
	Get the number of non-extrema suppressed. More...

vl_size	vl_covdet_get_num_features (VlCovDet const *self)
	Get number of stored frames. More...

void *	vl_covdet_get_features (VlCovDet *self)
	Get the stored frames. More...

VlScaleSpace *	vl_covdet_get_gss (VlCovDet const *self)
	Get the Gaussian scale space. More...

VlScaleSpace *	vl_covdet_get_css (VlCovDet const *self)
	Get the cornerness measure scale space. More...

vl_size const *	vl_covdet_get_laplacian_scales_statistics (VlCovDet const self, vl_size numScales)
	Get the number of features found with a certain number of scales. More...

vl_bool	vl_covdet_get_allow_padded_warping (VlCovDet const *self)
	Get wether to compute padded warped patches. More...

void	vl_covdet_set_allow_padded_warping (VlCovDet *self, vl_bool t)
	Set wether to compute padded warped patches. More...

Detailed Description

Author: Karel Lenc; Andrea Vedaldi; Michal Perdoch

Function Documentation

◆ _vl_det_hessian_response()

static void _vl_det_hessian_response	(	float *	hessian,
		float const *	image,
		vl_size	width,
		vl_size	height,
		double	step,
		double	sigma
	)

static

Parameters

hessian	output image.
image	input image.
width	image width.
height	image height.
step	image sampling step (pixel size).
sigma	Gaussian smoothing of the input image.

◆ _vl_dog_response()

static void _vl_dog_response	(	float *	dog,
		float const *	level1,
		float const *	level2,
		vl_size	width,
		vl_size	height
	)

static

Parameters

dog	output image.
level1	input image at the smaller Gaussian scale.
level2	input image at the larger Gaussian scale.
width	image width.
height	image height.

◆ _vl_enlarge_buffer()

static int _vl_enlarge_buffer	(	void **	buffer,
		vl_size *	bufferSize,
		vl_size	targetSize
	)

static

Parameters

buffer
bufferSize
targetSize

Returns: error code

◆ _vl_harris_response()

static void _vl_harris_response	(	float *	harris,
		float const *	image,
		vl_size	width,
		vl_size	height,
		double	step,
		double	sigma,
		double	sigmaI,
		double	alpha
	)

static

Parameters

harris	output image.
image	input image.
width	image width.
height	image height.
step	image sampling step (pixel size).
sigma	Gaussian smoothing of the input image.
sigmaI	integration scale.
alpha	factor in the definition of the Harris score.

◆ _vl_resize_buffer()

static int _vl_resize_buffer	(	void **	buffer,
		vl_size *	bufferSize,
		vl_size	targetSize
	)

static

Parameters

buffer
bufferSize
targetSize

Returns: error code

◆ vl_covdet_append_feature()

int vl_covdet_append_feature	(	VlCovDet *	self,
		VlCovDetFeature const *	feature
	)

Parameters

self	object.
feature	a pointer to the feature to append.

Returns: status.

The feature is copied. The function may fail with status equal to VL_ERR_ALLOC if there is insufficient memory.

◆ vl_covdet_delete()

void vl_covdet_delete ( VlCovDet * self )

Parameters

self object.

◆ vl_covdet_detect()

void vl_covdet_detect ( VlCovDet * self )

Parameters

self object.

This function runs the configured feature detector on the image that was passed by using vl_covdet_put_image.

◆ vl_covdet_drop_features_outside()

void vl_covdet_drop_features_outside	(	VlCovDet *	self,
		double	margin
	)

Parameters

self	object.
margin	geometric marging.

The feature extent is defined by maring. A bounding box in the normalised feature frame containin a circle of radius maring is created and mapped to the image by the feature frame transformation. Then the feature is dropped if the bounding box is not contained in the image.

For example, setting margin to zero drops a feature only if its center is not contained.

Typically a valua of margin equal to 1 or 2 is used.

◆ vl_covdet_extract_affine_shape()

void vl_covdet_extract_affine_shape ( VlCovDet * self )

Parameters

self object.

This function may discard features for which no affine shape can reliably be detected.

◆ vl_covdet_extract_affine_shape_for_frame()

int vl_covdet_extract_affine_shape_for_frame	(	VlCovDet *	self,
		VlFrameOrientedEllipse *	adapted,
		VlFrameOrientedEllipse	frame
	)

Parameters

self	object.
adapted	the shape-adapted frame.
frame	the input frame.

Returns: VL_ERR_OK if affine adaptation is successful.

This function may fail if adaptation is unsuccessful or if memory is insufficient.

◆ vl_covdet_extract_laplacian_scales()

void vl_covdet_extract_laplacian_scales ( VlCovDet * self )

Parameters

self object.

Note that, since more than one orientation can be detected for each feature, this function may create copies of them, one for each orientation.

◆ vl_covdet_extract_laplacian_scales_for_frame()

VlCovDetFeatureLaplacianScale* vl_covdet_extract_laplacian_scales_for_frame	(	VlCovDet *	self,
		vl_size *	numScales,
		VlFrameOrientedEllipse	frame
	)

Parameters

self	object.
numScales	the number of detected scales.
frame	pose of the feature.

Returns: an array of detected scales.

The function returns NULL if memory is insufficient.

◆ vl_covdet_extract_orientations()

void vl_covdet_extract_orientations ( VlCovDet * self )

Parameters

self object.

Note that, since more than one orientation can be detected for each feature, this function may create copies of them, one for each orientation.

◆ vl_covdet_extract_orientations_for_frame()

VlCovDetFeatureOrientation* vl_covdet_extract_orientations_for_frame	(	VlCovDet *	self,
		vl_size *	numOrientations,
		VlFrameOrientedEllipse	frame
	)

Parameters

self	object.
numOrientations	the number of detected orientations.
frame	pose of the feature.

Returns: an array of detected orientations with their scores.

The returned array is a matrix of size \( 2 \times n \) where n is the number of detected orientations.

The function returns NULL if memory is insufficient.

◆ vl_covdet_extract_patch_for_frame()

vl_bool vl_covdet_extract_patch_for_frame	(	VlCovDet *	self,
		float *	patch,
		vl_size	resolution,
		double	extent,
		double	sigma,
		VlFrameOrientedEllipse	frame
	)

Parameters

self	object.
patch	buffer.
resolution	patch resolution.
extent	patch extent.
sigma	desired smoothing in the patch frame.
frame	feature frame.

The function considers a patch of extent [-extent,extent] on each side, with a side counting 2*resolution+1 pixels. In attempts to extract from the scale space a patch based on the affine warping specified by frame in such a way that the resulting smoothing of the image is sigma (in the patch frame).

The transformation is specified by the matrices A and T embedded in the feature frame. Note that this transformation maps pixels from the patch frame to the image frame.

◆ vl_covdet_extract_patch_helper()

vl_bool vl_covdet_extract_patch_helper	(	VlCovDet *	self,
		double *	sigma1,
		double *	sigma2,
		float *	patch,
		vl_size	resolution,
		double	extent,
		double	sigma,
		double	A_[4],
		double	T_[2],
		double	d1,
		double	d2
	)

Parameters

	self	object.
[out]	sigma1	actual patch smoothing along the first axis.
[out]	sigma2	actual patch smoothing along the second axis.
	patch	buffer.
	resolution	patch resolution.
	extent	patch extent.
	sigma	desired smoothing in the patch frame.
	A_	linear transfomration from patch to image.
	T_	translation from patch to image.
	d1	first singular value A.
	d2	second singular value of A.

◆ vl_covdet_get_aa_accurate_smoothing()

vl_bool vl_covdet_get_aa_accurate_smoothing ( VlCovDet const * self )

Parameters

self object.

Returns: true if accurate smoothing is used.

◆ vl_covdet_get_allow_padded_warping()

vl_bool vl_covdet_get_allow_padded_warping ( VlCovDet const * self )

Parameters

self object.

Returns: whether padded warped patches are computed.

◆ vl_covdet_get_base_scale()

double vl_covdet_get_base_scale ( VlCovDet const * self )

Parameters

self object.

Returns: The base scale.

◆ vl_covdet_get_css()

VlScaleSpace* vl_covdet_get_css ( VlCovDet const * self )

Returns: cornerness measure scale space.

A cornerness measure scale space exists only after calling vl_covdet_detect. Otherwise the function returns NULL.

◆ vl_covdet_get_edge_threshold()

double vl_covdet_get_edge_threshold ( VlCovDet const * self )

Parameters

self object.

Returns: the edge threshold.

◆ vl_covdet_get_features()

void* vl_covdet_get_features ( VlCovDet * self )

Returns: frames stored in the detector.

◆ vl_covdet_get_first_octave()

vl_index vl_covdet_get_first_octave ( VlCovDet const * self )

Parameters

self object.

Returns: index of the first octave.

◆ vl_covdet_get_gss()

VlScaleSpace* vl_covdet_get_gss ( VlCovDet const * self )

Returns: Gaussian scale space.

A Gaussian scale space exists only after calling vl_covdet_put_image. Otherwise the function returns NULL.

◆ vl_covdet_get_laplacian_peak_threshold()

double vl_covdet_get_laplacian_peak_threshold ( VlCovDet const * self )

Parameters

self object.

Returns: the Laplacian peak threshold.

This parameter affects only the detecors using the Laplacian scale selectino method such as Harris-Laplace.

◆ vl_covdet_get_laplacian_scales_statistics()

vl_size const* vl_covdet_get_laplacian_scales_statistics	(	VlCovDet const *	self,
		vl_size *	numScales
	)

Parameters

self	object.
numScales	length of the histogram (out).

Returns: histogram.

Calling this function makes sense only after running a detector that uses the Laplacian as a secondary measure for scale detection

◆ vl_covdet_get_max_num_orientations()

vl_size vl_covdet_get_max_num_orientations ( VlCovDet const * self )

Parameters

self object.

Returns: maximal number of orientations.

◆ vl_covdet_get_non_extrema_suppression_threshold()

double vl_covdet_get_non_extrema_suppression_threshold ( VlCovDet const * self )

Parameters

self object.

Returns: threshold.

◆ vl_covdet_get_num_features()

vl_size vl_covdet_get_num_features ( VlCovDet const * self )

Returns: number of frames stored in the detector.

◆ vl_covdet_get_num_non_extrema_suppressed()

vl_size vl_covdet_get_num_non_extrema_suppressed ( VlCovDet const * self )

Parameters

self object.

Returns: number.

◆ vl_covdet_get_num_octaves()

vl_size vl_covdet_get_num_octaves ( VlCovDet const * self )

Parameters

self object.

Returns: maximal number of octaves.

◆ vl_covdet_get_octave_resolution()

vl_size vl_covdet_get_octave_resolution ( VlCovDet const * self )

Parameters

self object.

Returns: octave resolution.

◆ vl_covdet_get_peak_threshold()

double vl_covdet_get_peak_threshold ( VlCovDet const * self )

Parameters

self object.

Returns: the peak threshold.

◆ vl_covdet_get_transposed()

vl_bool vl_covdet_get_transposed ( VlCovDet const * self )

Parameters

self object.

Returns: whether images are transposed.

◆ vl_covdet_new()

VlCovDet* vl_covdet_new ( VlCovDetMethod method )

Parameters

method method for covariant feature detection.

Returns: new covariant detector.

◆ vl_covdet_put_image()

int vl_covdet_put_image	(	VlCovDet *	self,
		float const *	image,
		vl_size	width,
		vl_size	height
	)

Parameters

self	object.
image	image to process.
width	image width.
height	image height.

Returns: status.

width and height must be at least one pixel. The function fails by returing VL_ERR_ALLOC if the memory is insufficient.

◆ vl_covdet_reset()

void vl_covdet_reset ( VlCovDet * self )

Parameters

self object.

This function removes any buffered features and frees other internal buffers.

◆ vl_covdet_set_aa_accurate_smoothing()

void vl_covdet_set_aa_accurate_smoothing	(	VlCovDet *	self,
		vl_bool	x
	)

Parameters

self	object.
x	whether accurate smoothing should be usd.

◆ vl_covdet_set_allow_padded_warping()

void vl_covdet_set_allow_padded_warping	(	VlCovDet *	self,
		vl_bool	t
	)

Parameters

self	object.
t	whether padded warped patches are computed.

◆ vl_covdet_set_base_scale()

void vl_covdet_set_base_scale	(	VlCovDet *	self,
		double	s
	)

Parameters

self	object.
s	the base scale.

Calling this function resets the detector.

◆ vl_covdet_set_edge_threshold()

void vl_covdet_set_edge_threshold	(	VlCovDet *	self,
		double	edgeThreshold
	)

Parameters

self	object.
edgeThreshold	the edge threshold.

The edge threshold must be non-negative.

◆ vl_covdet_set_first_octave()

void vl_covdet_set_first_octave	(	VlCovDet *	self,
		vl_index	o
	)

Parameters

self	object.
o	index of the first octave.

Calling this function resets the detector.

◆ vl_covdet_set_laplacian_peak_threshold()

void vl_covdet_set_laplacian_peak_threshold	(	VlCovDet *	self,
		double	peakThreshold
	)

Parameters

self	object.
peakThreshold	the Laplacian peak threshold.

The peak threshold must be non-negative.

◆ vl_covdet_set_max_num_orientations()

void vl_covdet_set_max_num_orientations	(	VlCovDet *	self,
		vl_size	m
	)

Parameters

self	object.
m	the max number of orientations.

Calling this function resets the detector.

◆ vl_covdet_set_non_extrema_suppression_threshold()

void vl_covdet_set_non_extrema_suppression_threshold	(	VlCovDet *	self,
		double	x
	)

Parameters

self	object.
x	threshold.

◆ vl_covdet_set_num_octaves()

void vl_covdet_set_num_octaves	(	VlCovDet *	self,
		vl_size	o
	)

Parameters

self	object.
o	max number of octaves.

Calling this function resets the detector.

◆ vl_covdet_set_octave_resolution()

void vl_covdet_set_octave_resolution	(	VlCovDet *	self,
		vl_size	r
	)

Parameters

self	object.
r	octave resoltuion.

Calling this function resets the detector.

◆ vl_covdet_set_peak_threshold()

void vl_covdet_set_peak_threshold	(	VlCovDet *	self,
		double	peakThreshold
	)

Parameters

self	object.
peakThreshold	the peak threshold.

The peak threshold must be non-negative.

◆ vl_covdet_set_transposed()

void vl_covdet_set_transposed	(	VlCovDet *	self,
		vl_bool	t
	)

Parameters

self	object.
t	whether images are transposed.

◆ vl_find_local_extrema_2()

vl_size vl_find_local_extrema_2	(	vl_index **	extrema,
		vl_size *	bufferSize,
		float const *	map,
		vl_size	width,
		vl_size	height,
		double	threshold
	)

Parameters

extrema	buffer containing the found extrema (in/out).
bufferSize	size of the extrema buffer in bytes (in/out).
map	a 3D array representing the map.
width	of the map.
height	of the map.
threshold	minumum extremum value.

Returns: number of extrema found.

An extremum contains 2 vl_index values; they are arranged sequentially.

The function can reuse an already allocated buffer if extrema and bufferSize are initialized on input. It may have to realloc the memory if the buffer is too small.

◆ vl_find_local_extrema_3()

vl_size vl_find_local_extrema_3	(	vl_index **	extrema,
		vl_size *	bufferSize,
		float const *	map,
		vl_size	width,
		vl_size	height,
		vl_size	depth,
		double	threshold
	)

Parameters

extrema	buffer containing the extrema found (in/out).
bufferSize	size of the extrema buffer in bytes (in/out).
map	a 3D array representing the map.
width	of the map.
height	of the map.
depth	of the map.
threshold	minumum extremum value.

Returns: number of extrema found.

See also: vl_refine_local_extreum_2.

◆ vl_refine_local_extreum_2()

vl_bool vl_refine_local_extreum_2	(	VlCovDetExtremum2 *	refined,
		float const *	map,
		vl_size	width,
		vl_size	height,
		vl_index	x,
		vl_index	y
	)

Parameters

refined	refined extremum (out).
map	a 2D array representing the map.
width	of the map.
height	of the map.
x	initial x position.
y	initial y position.

Returns: a flat indicating whether the extrema refinement was stable.

◆ vl_refine_local_extreum_3()

vl_bool vl_refine_local_extreum_3	(	VlCovDetExtremum3 *	refined,
		float const *	map,
		vl_size	width,
		vl_size	height,
		vl_size	depth,
		vl_index	x,
		vl_index	y,
		vl_index	z
	)

Parameters

refined	refined extremum (out).
map	a 3D array representing the map.
width	of the map.
height	of the map.
depth	of the map.
x	initial x position.
y	initial y position.
z	initial z position.

Returns: a flat indicating whether the extrema refinement was stable.

VLFeat.org

Data Structures

Functions

Detailed Description

Function Documentation

◆ _vl_det_hessian_response()

◆ _vl_dog_response()

◆ _vl_enlarge_buffer()

◆ _vl_harris_response()

◆ _vl_resize_buffer()

◆ vl_covdet_append_feature()

◆ vl_covdet_delete()

◆ vl_covdet_detect()

◆ vl_covdet_drop_features_outside()

◆ vl_covdet_extract_affine_shape()

◆ vl_covdet_extract_affine_shape_for_frame()

◆ vl_covdet_extract_laplacian_scales()

◆ vl_covdet_extract_laplacian_scales_for_frame()

◆ vl_covdet_extract_orientations()

◆ vl_covdet_extract_orientations_for_frame()

◆ vl_covdet_extract_patch_for_frame()

◆ vl_covdet_extract_patch_helper()

◆ vl_covdet_get_aa_accurate_smoothing()

◆ vl_covdet_get_allow_padded_warping()

◆ vl_covdet_get_base_scale()

◆ vl_covdet_get_css()

◆ vl_covdet_get_edge_threshold()

◆ vl_covdet_get_features()

◆ vl_covdet_get_first_octave()

◆ vl_covdet_get_gss()

◆ vl_covdet_get_laplacian_peak_threshold()

◆ vl_covdet_get_laplacian_scales_statistics()

◆ vl_covdet_get_max_num_orientations()

◆ vl_covdet_get_non_extrema_suppression_threshold()

◆ vl_covdet_get_num_features()

◆ vl_covdet_get_num_non_extrema_suppressed()

◆ vl_covdet_get_num_octaves()

◆ vl_covdet_get_octave_resolution()

◆ vl_covdet_get_peak_threshold()

◆ vl_covdet_get_transposed()

◆ vl_covdet_new()

◆ vl_covdet_put_image()

◆ vl_covdet_reset()

◆ vl_covdet_set_aa_accurate_smoothing()

◆ vl_covdet_set_allow_padded_warping()

◆ vl_covdet_set_base_scale()

◆ vl_covdet_set_edge_threshold()

◆ vl_covdet_set_first_octave()

◆ vl_covdet_set_laplacian_peak_threshold()

◆ vl_covdet_set_max_num_orientations()

◆ vl_covdet_set_non_extrema_suppression_threshold()

◆ vl_covdet_set_num_octaves()

◆ vl_covdet_set_octave_resolution()

◆ vl_covdet_set_peak_threshold()

◆ vl_covdet_set_transposed()

◆ vl_find_local_extrema_2()

◆ vl_find_local_extrema_3()

◆ vl_refine_local_extreum_2()

◆ vl_refine_local_extreum_3()